- Islamic University of Gaza, Geography, Faculty Memberadd
- Geography, Digital Elevation Models, Demography, Population Dynamics, Population Geography, Remote sensing and GIS applications in Landscape Research, and 10 moreGeo-spatial analysis with GIS and GPS, GIS and Landscape Archaeology, Environmental GIS, Remote Sensing & GIS, 3D GIS, Applied GIS for Urban Planning and Demographic Studies, Geomatics, Surveying, Geographic Information Systems (GIS), and Environmental Sustainabilityedit
- 1. A GIS academic have a Ph.D. degree on the field. In addition, teach and attended many short courses, conferences, ... more1. A GIS academic have a Ph.D. degree on the field. In addition, teach and attended many short courses, conferences, seminars and workshops in the field.
2. Professional experience in conducting GIS spatial analysis and Python programing for environmental and urban planning projects and studies.
3. Work as trainer for GIS Courses (Basic, Intermediate and advanced) for 400 hours at different institutions.
4. Authored more than ten papers in international journals and conferences in the fields of GIS and Geospatial science. In addition, have Research experience on GIS landfill site selection, spatial data mining and neural networks.
5. Holds Deanship of Scientific Research Award at the Islamic University for the best research graduation (BA) at the Department of Geography in 2009. Also, holds Deanship of Scientific Research Award at the Islamic University for outstanding Masters at the Department of Geography in 2013. In addition, hold USM Fellowship and USM Graduate Assistant Scholarship during the Ph.D.
6. Has professional skills in GIS software’s and excellent knowledge in GIS programing (Python and MATLAB).
7. Outstanding ability to evaluate academic programs and develop academic curriculums.
8. Leading, managing, coordinating, follow-up, and supervision the projects, activities workshops, seminars field training, scientific lectures, study days, scientific field trips, and running conference curried out in the Islamic University of Gaza, Gaza-Palestine and Universiti Sains Malaysia.
9. Have excellent communication capabilities and skills with very good English language speaking, writing and reading. With very good skills in Writing reports and project proposals.edit
Mapping the suitability of landfill sites is a complex field and is involved with multidiscipline. The purpose of this research is to create an ArcGIS spatial data mining toolbox for mapping the suitability of landfill sites at a regional... more
Mapping the suitability of landfill sites is a complex field and is involved with multidiscipline. The purpose of this research is to create an ArcGIS spatial data mining toolbox for mapping the suitability of landfill sites at a regional scale using neural networks. The toolbox is constructed from six sub-tools to prepare, train, and process data. The employment of the toolbox is straightforward. The multilayer perceptron (MLP) neural networks structure with a backpropagation learning algorithm is used. The dataset is mined from the north states in Malaysia. A total of 14 criteria are utilized to build the training dataset. The toolbox provides a platform for decision makers to implement neural networks for mapping the suitability of landfill sites in the ArcGIS environment. The result shows the ability of the toolbox to produce suitability maps for landfill sites.
Research Interests:
Policy makers and the public are increasingly concerned with the determination of landfill-siting input criteria (DLSIC) in landfill modelling procedures as an area of research. Thus, its procedures are complicated and decision makers are... more
Policy makers and the public are increasingly concerned with the determination of landfill-siting input criteria (DLSIC) in landfill modelling procedures as an area of research. Thus, its procedures are complicated and decision makers are increasingly pressured. These procedures can be considerably develop in order to reduce the negative effect of landfill locations on the environment, economy, and society. In this review article, literature related to the developments of 64 models and their procedures in the past 18 years (from 1997 to 2014) were comprehensively survey. DLSIC are determined through a conventional method. The frequency of criterion usage reflects the limitation of Conventional method for DLSIC. Moreover, some of these studies utilize unrelated criteria that are time-consuming, costly, arduous, and fruitless. Potential improvement in Geographic information systems GIS modelling parameter for landfill sites via utilizing multivariate analysis (MVA) instead of Conventional method (CM) through for DLSIC (e.g., Input variables, Accuracy, objectivity, reliability of criteria, time consumption, cost and comprehensiveness) were emphasize. It can be conclude that expenses can be reduce by implementing MVA in DLSIC for landfill modelling using geographic information systems (GIS) based on the corresponding significant level. Moreover, the determined criteria can be accurate, satisfying, sufficient, and free of bias from experts and human error.